Free AI Agents course
Building Intelligent AI Agents
4.38
Beginner level
3.0 learning hrs
Learn AI agents, CrewAI, LangGraph, workflow design, agent autonomy, collaboration, and design patterns. Join this Free AI Agents course to build reliable workflows for real-world automation use cases.
Instructor:
Mr. Amish Suchak
About this course
The Free generative AI agents course equips you with the practical skills to understand, design, and implement AI agents for modern software and automation workflows. You’ll learn what AI agents are, how Generative AI is moving from basic task support toward autonomy, and how agents use decision-making models to act more intelligently. The course also introduces CrewAI for building conversational agents that can communicate, collaborate, and solve problems together.
You’ll gain hands-on knowledge of LangGraph and learn how to design structured workflows that help AI agents work in a logical and reliable way. The course also covers AI agent design patterns, helping you build more dependable agent systems. By the end of this Free AI agent building course online, you’ll be able to explain how AI agents work, identify the right frameworks for building them, design agent workflows, and apply core agent concepts to real-world AI and automation use cases.
Course outline
Understanding AI agents
You'll be able to understand what AI agents truly are and how the evolution of Generative AI will see its transition from performing basic functions to achieving full autonomy.
Introducing CrewAI - Crafting Intelligent Conversational Agents
Learn about the introduction of CrewAI, which makes building conversational AI agents that can communicate, collaborate and resolve problems in unison easier.
Implementing AI Agents using LangGraph
In this module, you will be provided with an insight into LangGraph, a revolutionary tool for building AI agents, and will gain hands-on knowledge on how they work.
Designing Workflows in LangGraph
Gain knowledge about designing proper workflows based on the LangGraph model so that the AI agents can work in a logical manner.
AI Agent Design Patterns
Gain knowledge about the various design patterns required for building reliable AI agents.
Get access to the complete curriculum once you enroll in the course
4.38
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Practice exercises
Guided Projects
AI Resume Builder
AI mock interviews
India
Our course instructor
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Mr. Amish Suchak
Data Science Team Lead @ XSOLIS
Agentic AI Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What is the Building Intelligent AI Agents course about?
This free course introduces AI agents, their features, types, and decision-making models like rule-based, goal-based, and reinforcement learning. You'll also learn to build a simple AI Agent using Python and explore real-world applications.
Do I need prior programming knowledge to take this course?
The free AI agents course is for beginners and applies to students without prior experience. Basic programming expertise, especially in Python software, will maximize your experience with the practical coding parts.
What skills will I gain from this course?
The course provides expertise in AI Agent comprehension along with decision-making methodologies, basic Python agent development, real-world AI applications, and agent performance enhancement techniques.
Are there any prerequisites for this course?
This course requires no special experience apart from elementary Python programming skills and a fundamental background in AI concepts, although the content was specifically created for new students.
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